MoE training time is reduced by 21.2-44.8% with LRMoE, a memory-aware system that recalibrates backward demand and balances workload, enabling faster training of large models like Qwen3-30B and GLM4.5-106B on memory-constrained nodes, directly benefiting production environments running similar LLM architectures.